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Yanbao Yu is an Assistant Professor in the Department of Infectious Disease. His research laboratory aims to study fundamental questions associated with host-microbe interactions, bacterial pathogenesis, and cell signaling in innate immunity by employing innovative technologies centered on high throughput high accuracy mass spectrometry (MS)-based quantitative proteomics.
He joined JCVI in 2013, first as postdoctoral fellow, and later as Staff Scientist with research focused on urinary tract infections and catheter biofilms. He became an independent investigator in November 2017, with broad research interests in microbiome and metaproteomics.
He obtained his PhD in chemical biology from Fudan University, Shanghai.
Research Priorities
Study of human microbiome and their participation in health and diseases.
- MS-based microbial detection as potential clinical diagnostic methods
- Mechanism of host-microbe interactions in infectious diseases
- Chemical biology approaches to investigate protein interactions
- Integration of multiple omics
Development of novel MS-based techniques for highly efficient and effective proteome analysis
- Alternative protein/peptide fractionation and identification methods
- Large scale clinical/microbial sample processing for biomarker discovery
- Label-based and label-free proteome quantitation technologies
Publications
Lab-on-a-Filter Techniques for Economical, Effective, and Flexible Proteome Analysis.
Methods in molecular biology (Clifton, N.J.). 2021-01-01; 2261.25-34.
PMID: 33420982
Oral Microbial Species and Virulence Factors Associated with Oral Squamous Cell Carcinoma.
Microbial ecology. 2020-11-06;
PMID: 33155101
Differences in plasma proteomes for active tuberculosis, latent tuberculosis and non-tuberculosis mycobacterial lung disease patients with and without ESAT-6/CFP10 stimulation.
Proteome science. 2020-10-31; 18.1: 10.
PMID: 33292280
Protein signatures from blood plasma and urine suggest changes in vascular function and IL-12 signaling in elderly with a history of chronic diseases compared with an age-matched healthy cohort.
GeroScience. 2020-09-24;
PMID: 32974878
Predictive Signatures of 19 Antibiotic-Induced Escherichia coli Proteomes.
ACS infectious diseases. 2020-08-14; 6.8: 2120-2129.
PMID: 32673475
Self-Assembled STrap for Global Proteomics and Salivary Biomarker Discovery.
Journal of proteome research. 2019-04-05; 18.4: 1907-1915.
PMID: 30848925
Microbial metagenome of urinary tract infection.
Scientific reports. 2018-03-12; 8.1: 4333.
PMID: 29531289
Quick 96FASP for high throughput quantitative proteome analysis.
Journal of proteomics. 2017-08-23; 166.1-7.
PMID: 28669814
Type 1 Diabetes: Urinary Proteomics and Protein Network Analysis Support Perturbation of Lysosomal Function.
Theranostics. 2017-07-07; 7.10: 2704-2717.
PMID: 28819457
Characterization of Early-Phase Neutrophil Extracellular Traps in Urinary Tract Infections.
PLoS pathogens. 2017-01-27; 13.1: e1006151.
PMID: 28129394
Comprehensive Metaproteomic Analyses of Urine in the Presence and Absence of Neutrophil-Associated Inflammation in the Urinary Tract.
Theranostics. 2017-01-01; 7.2: 238-252.
PMID: 28042331
Similar Neutrophil-Driven Inflammatory and Antibacterial Responses in Elderly Patients with Symptomatic and Asymptomatic Bacteriuria.
Infection and immunity. 2015-10-01; 83.10: 4142-53.
PMID: 26238715
Diagnosing inflammation and infection in the urinary system via proteomics.
Journal of translational medicine. 2015-04-08; 13.111.
PMID: 25889401
Urinary pellet sample preparation for shotgun proteomic analysis of microbial infection and host-pathogen interactions.
Methods in molecular biology (Clifton, N.J.). 2015-01-01; 1295.65-74.
PMID: 25820714
Urine sample preparation in 96-well filter plates to characterize inflammatory and infectious diseases of the urinary tract.
Advances in experimental medicine and biology. 2015-01-01; 883.77-87.
PMID: 25355571
Urine sample preparation in 96-well filter plates for quantitative clinical proteomics.
Analytical chemistry. 2014-06-03; 86.11: 5470-7.
PMID: 24797144
Research Priorities
Study of human microbiome and their participation in health and diseases.
- MS-based microbial detection as potential clinical diagnostic methods
- Mechanism of host-microbe interactions in infectious diseases
- Chemical biology approaches to investigate protein interactions
- Integration of multiple omics
Development of novel MS-based techniques for highly efficient and effective proteome analysis
- Alternative protein/peptide fractionation and identification methods
- Large scale clinical/microbial sample processing for biomarker discovery
- Label-based and label-free proteome quantitation technologies
Gut Microbiome Sysbiosis in Childhood Acute Lymphoblastic Leukemia (ALL) Patients
Genomics and Proteomics Approaches to T1D
This study addresses the complex interactions between the host and environmental factors as they relate to the development of Type I Diabetes (T1D).